Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping review.
- DOI
- 10.1016/j.landig.2026.101001
- Published
- 2026 Jul
- Container
- The Lancet. Digital health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.landig.2026.101001,
title = {Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping review.},
author = {Matos J and Van Calster B and Celi LA and Dhiman P and Gichoya JW and Riley RD and Russell C and Khalid S and Collins GS},
year = {2026},
journal = {The Lancet. Digital health},
doi = {10.1016/j.landig.2026.101001},
url = {https://doi.org/10.1016/j.landig.2026.101001}
}RIS
TY - JOUR TI - Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping review. AU - Matos J AU - Van Calster B AU - Celi LA AU - Dhiman P AU - Gichoya JW AU - Riley RD AU - Russell C AU - Khalid S AU - Collins GS PY - 2026 JO - The Lancet. Digital health DO - 10.1016/j.landig.2026.101001 UR - https://doi.org/10.1016/j.landig.2026.101001 ER -
APA
J, M., B, V. C., LA, C., P, D., JW, G., RD, R., C, R., S, K., & GS, C. (2026). Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping review.. The Lancet. Digital health. https://doi.org/10.1016/j.landig.2026.101001
Source records
- pubmed · retrieved 2026-09-26T01:08:44.519Z